Cargando…
Inferring Synaptic Structure in Presence of Neural Interaction Time Scales
Biological networks display a variety of activity patterns reflecting a web of interactions that is complex both in space and time. Yet inference methods have mainly focused on reconstructing, from the network’s activity, the spatial structure, by assuming equilibrium conditions or, more recently, a...
Autores principales: | Capone, Cristiano, Filosa, Carla, Gigante, Guido, Ricci-Tersenghi, Federico, Del Giudice, Paolo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373808/ https://www.ncbi.nlm.nih.gov/pubmed/25807389 http://dx.doi.org/10.1371/journal.pone.0118412 |
Ejemplares similares
-
Spontaneous activity emerging from an inferred network model captures complex spatio-temporal dynamics of spike data
por: Capone, Cristiano, et al.
Publicado: (2018) -
Density-based clustering: A ‘landscape view’ of multi-channel neural data for inference and dynamic complexity analysis
por: Baglietto, Gabriel, et al.
Publicado: (2017) -
Network Events on Multiple Space and Time Scales in Cultured Neural Networks and in a Stochastic Rate Model
por: Gigante, Guido, et al.
Publicado: (2015) -
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms : Lecture Notes of the Les Houches School of Physics : Special Issue, October 2013
por: Krzakala, Florent, et al.
Publicado: (2015) -
The backtracking survey propagation algorithm for solving random K-SAT problems
por: Marino, Raffaele, et al.
Publicado: (2016)